scaffold-exercises
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- Author updated Jun 12, 2026, 08:25 AM
- Author repo skills
- Domain
- Engineering
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @mattpocock · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。
---
name: scaffold-exercises
description: Create exercise directory structures with sections, problems, solutions, and explainers that pas…
category: engineering
runtime: no special runtime
---
# scaffold-exercises output preview
## PART A: Task fit
- Use case: Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Directory naming / Exercise variants / Required files” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.”.
- **02** When the source has headings, the agent prioritizes “Directory naming / Exercise variants / Required files” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. Choose the trigger
The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Provide inputs and boundaries
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Validate with a small run
Start with a small task and check whether the result follows “Directory naming / Exercise variants / Required files”. Inspect diffs, logs, previews, or tests before expanding scope.
Review before delivery
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: scaffold-exercises
description: Create exercise directory structures with sections, problems, solutions, and explainers that pas…
category: engineering
source: mattpocock/skills
---
# scaffold-exercises
## When to use
- Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when us…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Directory naming / Exercise variants / Required files” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. Evidence boundary and execution chain
The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "scaffold-exercises" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Directory naming / Exercise variants / Required files
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}Scaffold Exercises
Create exercise directory structures that pass pnpm ai-hero-cli internal lint, then commit with git commit.
Directory naming
- Sections:
XX-section-name/insideexercises/(e.g.,01-retrieval-skill-building) - Exercises:
XX.YY-exercise-name/inside a section (e.g.,01.03-retrieval-with-bm25) - Section number =
XX, exercise number =XX.YY - Names are dash-case (lowercase, hyphens)
Exercise variants
Each exercise needs at least one of these subfolders:
problem/- student workspace with TODOssolution/- reference implementationexplainer/- conceptual material, no TODOs
When stubbing, default to explainer/ unless the plan specifies otherwise.
Required files
Each subfolder (problem/, solution/, explainer/) needs a readme.md that:
- Is not empty (must have real content, even a single title line works)
- Has no broken links
When stubbing, create a minimal readme with a title and a description:
# Exercise Title
Description hereIf the subfolder has code, it also needs a main.ts (>1 line). But for stubs, a readme-only exercise is fine.
Workflow
- Parse the plan - extract section names, exercise names, and variant types
- Create directories -
mkdir -pfor each path - Create stub readmes - one
readme.mdper variant folder with a title - Run lint -
pnpm ai-hero-cli internal lintto validate - Fix any errors - iterate until lint passes
Lint rules summary
The linter (pnpm ai-hero-cli internal lint) checks:
- Each exercise has subfolders (
problem/,solution/,explainer/) - At least one of
problem/,explainer/, orexplainer.1/exists readme.mdexists and is non-empty in the primary subfolder- No
.gitkeepfiles - No
speaker-notes.mdfiles - No broken links in readmes
- No
pnpm run exercisecommands in readmes main.tsrequired per subfolder unless it's readme-only
Moving/renaming exercises
When renumbering or moving exercises:
- Use
git mv(notmv) to rename directories - preserves git history - Update the numeric prefix to maintain order
- Re-run lint after moves
Example:
git mv exercises/01-retrieval/01.03-embeddings exercises/01-retrieval/01.04-embeddingsExample: stubbing from a plan
Given a plan like:
Section 05: Memory Skill Building
- 05.01 Introduction to Memory
- 05.02 Short-term Memory (explainer + problem + solution)
- 05.03 Long-term MemoryCreate:
mkdir -p exercises/05-memory-skill-building/05.01-introduction-to-memory/explainer
mkdir -p exercises/05-memory-skill-building/05.02-short-term-memory/{explainer,problem,solution}
mkdir -p exercises/05-memory-skill-building/05.03-long-term-memory/explainerThen create readme stubs:
exercises/05-memory-skill-building/05.01-introduction-to-memory/explainer/readme.md -> "# Introduction to Memory"
exercises/05-memory-skill-building/05.02-short-term-memory/explainer/readme.md -> "# Short-term Memory"
exercises/05-memory-skill-building/05.02-short-term-memory/problem/readme.md -> "# Short-term Memory"
exercises/05-memory-skill-building/05.02-short-term-memory/solution/readme.md -> "# Short-term Memory"
exercises/05-memory-skill-building/05.03-long-term-memory/explainer/readme.md -> "# Long-term Memory"
Decide Fit First
Design Intent
How To Use It
Boundaries And Review